Grounded in live AI implementations: predictive maintenance models, quality anomaly detection engines, intelligent document processing (IDP), and business chatbots.
Artificial Intelligence is only useful if it delivers measurable operational efficiency. We bypass theoretical exercises and focus entirely on deploying practical machine learning models and intelligent workflows that reduce manual labor, identify system bottlenecks, and solve real, operational challenges.
While many agencies are just starting to experiment with AI API prompts, Micraft has already shipped and runs multiple production AI models inside our proprietary enterprise software systems:
When we design AI workflows for your enterprise, we bring ready-made frameworks that reduce training time and eliminate operational integration errors.
Automated data extraction from invoices, shipping bills, and laboratory PDFs.
We configure specialized vision models and language processors to parse diverse, unstructured logistics documents. Our IDP engines extract line items, values, and vendor names, writing them directly to your ERP database while highlighting anomalies.
The Outcome:What you get: 90% reduction in manual data entry, automated layout matching, sub-second extraction speeds, and custom human-in-the-loop review dashboards.
Predictive maintenance scheduling and quality anomaly detection pipelines.
We integrate with your shop floor PLCs, temperature sensors, and vibration logs. Our classification algorithms run continuous anomaly tracking on real-time data streams to predict machinery failure before they trigger downtime.
The Outcome:What you get: Extended machinery lifespan, automated maintenance tickets, reduced production waste, and web control panels.
RAG-driven chatbots that interface securely with your corporate databases.
We build secure Retrieval-Augmented Generation (RAG) chatbot tools. These bots securely parse local manuals, supplier price matrices, or internal documentation, allowing customers or staff to query inventory, policy details, or catalog listings.
The Outcome:What you get: 24/7 client response automation, Zero Hallucination filters, local system hosting for data privacy, and multi-channel chat (WhatsApp/Web).
We analyze your physical documents, sensory logs, or corporate text streams to confirm data quality before selecting neural architectures.
Our data team structures and labels training datasets, engineering cleaning scripts that filter out noise and system biases.
We select optimal open-source models (Llama-3, Mistral, OpenCV) or cloud services, configuring local parameters for fast performance.
We construct secure vector databases (e.g. pgvector, Pinecone) and hook your operational databases into the model pipelines.
We test model accuracy under various scenarios, setting up strict system guardrails to block hallucination or unexpected data leakage.
We deploy model engines inside secure docker containers, adding dynamic operator feedback buttons to continuously retrain the AI models.
We choose production-proven open-source LLMs and frameworks that run securely on local hardware networks.
Who manually read hundreds of physical transport manifests, laboratory reports, or custom commercial purchase logs daily.
Whose production lines rely heavily on heavy CNC, PLC, or mechanical systems, where unexpected stoppage causes massive losses.
Who handle thousands of simple supplier inquiries, tracking requests, or order logs, and want to automate them via safe WhatsApp bots.
Who want to deploy conversational AI tools across proprietary training manuals without hosting data on public cloud servers.
We don't charge per-prompt licensing or host your operational data on shared third-party platforms. When we deploy custom machine learning or LLM pipelines, we build them inside **secure docker containers** that can reside on your local cloud network (Azure/AWS), granting you **100% intellectual property ownership**.
Our models are fine-tuned by engineers who have built predictive layers for complex MES systems in heavy industries. We design local RAG pipelines that prevent data leakage and system hallucination, using strict guardrails.
For Indian manufacturing, distribution, and logistics enterprises, we offer domain knowledge that translates complex machinery and inventory schemas into structured datasets, reducing model training errors from the start.
